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jvachier/README.md

Welcome to my GitHub 👋

  • 🔬 Theoretical physicist and data scientist
    • I specialise in applying Stochastic Processes to model complex systems, transforming abstract mathematical concepts into practical solutions.
  • 🌱 Current Role
    • Working as a Senior Data Scientist, I leverage machine learning, optimise data pipelines, and tackle complex challenges to uncover novel insights from intricate data sets.
  • 💡 Feel free to explore my GitHub repositories showcasing my work in theoretical physics and data science. Walk through of my private repositories are available on request.
  • 🌐 Connect with me for collaboration opportunities or to discuss exciting projects in data science and physics!

What I Build

  • From-scratch implementations: Transformers, BiLSTMs, neural networks
  • Production ML systems: Computer vision, NLP, anomaly detection
  • MLOps infrastructure: Kubernetes, Jenkins CI/CD, HPC training
  • Research → Production: Bridging theoretical depth with practical deployment

Python C++ C CUDA Metal LaTeX Vim Visual Studio Code Jupyter Plotly Dash Docker Kubernetes Jenkins PyTorch TensorFlow Keras Kaggle Expert HPC

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  1. Image_classification_neural_network_numpy-Adam-Optimization Image_classification_neural_network_numpy-Adam-Optimization Public

    Neural network from scratch using NumPy with Adam optimization for MNIST digit classification. Implements forward/backward propagation, custom activation functions, and achieves 100% training accur…

    Jupyter Notebook

  2. active_particles_in_3D active_particles_in_3D Public

    High-performance C++ simulation framework for modeling active Brownian particles under cylindrical confinement in 3D space. Features dual implementations with standard OpenMP parallelization for cr…

    C++ 1

  3. Sentiment_Analysis Sentiment_Analysis Public

    From-scratch Transformer implementation for speech-to-text, sentiment analysis, and English-to-French translation. Features custom multi-head attention, positional encoding, and BiLSTM models with …

    Python

  4. Personality-classification Personality-classification Public

    Six-Stack Personality Classification Pipeline is a production-ready machine learning system that predicts personality types using advanced ensemble methods and automated optimization.

    Python

  5. Keras-vs-Pytorch-MacOs-CPU-vs-GPU Keras-vs-Pytorch-MacOs-CPU-vs-GPU Public

    Comprehensive VAE performance benchmark comparing PyTorch vs TensorFlow on Apple Silicon (M1/M2/M3). Quantifies training speed, memory efficiency, and Metal GPU utilization across Python versions t…

    Python

  6. scientific-literature-rag scientific-literature-rag Public

    Production RAG system for scientific literature synthesis with SPECTER2 embeddings, Metal GPU acceleration, multi-LLM support, and automatic BibTeX citations.

    Python